cv

This page contains my latest CV.

General Information

Full Name Shivesh Prakash
Date of Birth 21st December 2003
Languages English, Hindi, Sanskrit, Marathi

Education

  • April 2025
    Honors Bachelor of Science
    University of Toronto
    • Specialist in Computer Science, Focus in AI, Computer Vision, Minor in Statistics
    • GPA- 3.9
    • Relevant Coursework- Machine Learning (A+), Visual Computing (A), Algorithm Design (A+), Graduate Optimization (A), Enriched Theory of Computation (A), Linear Algebra (A+), Enriched Physics I and II (A+)
    • Achieved GRE 329 (170Q, 159V), SAT 1530, IELTS 8.0, TOEFL 113
    • Scholarships- International Scholar Award $92,500, Faculty Award $7,500, Dr. James A. Scholarship $500, Dean’s List Scholar
  • April 2022
    High School
    Narayana e-Techno School
    • JEE All India Rank 389, CBSE Class 12 - 98.2%, Class 10 - 97%
    • State Topper, 2-time National Top 1% in Physics Olympiad, 2-time KVPY Scholar

Experience

  • June'24 - Pres
    FinHub Research Assistant
    Rotman School of Management, University of Toronto
    • Collaborating with finance professors on AI and data-related tasks, including NLP and time series modeling.
    • Working on an RBC-supported project to extrapolate financial indices from historical articles.
  • Feb'23 - Pres
    Undergraduate Researcher
    University of Toronto
    • Research with Prof. Hans-Arno Jacobsen’s Middleware Systems Research Group on chemical synthesis and AI models.
    • Member of Computational Imaging Group and CHAI Lab, working on material sensing and hyperspectral imaging projects.
  • Oct'22 - Sep'24
    Machine Learning Project Lead
    University of Toronto Aerospace Team
    • Led projects resolving keystone distortion and dark noise in hyperspectral imaging.
    • Reduced runtime of testing frameworks to 65 seconds using automated programs.
  • May'23 - Sep'23
    Computer Science Educational Content Developer
    University of Toronto
    • Developed material for flagship CS courses, including 3000+ lines of Python code and 20+ visual aids.
  • Apr'21 - May'21
    Software Developer Intern
    Sigma Infosolutions
    • Developed 10+ visually appealing graphs using PyGraph for data insights.

Extracurricular Activities

  • June'23 - Pres
    Co-Founder and Vice President
    UofT Computer Vision Club
    • Built a community of 100+ members, organized research paper discussions.
  • Mar'20 - Oct'21
    Founder and Chief Developer
    Cyber Literacy
    • Created a mobile app providing cybercrime resources, achieving 100+ downloads.

Projects

  • MHNpath- Developed an ML-driven retrosynthetic tool using Hopfield networks for cost-efficient pathways.
  • SEE-2-SOUND- Built a zero-shot model generating spatial audio from visual inputs.
  • GraphBrain- Achieved state-of-the-art results in blood-brain barrier permeability prediction.
  • Beyond the Visible- Developed destriping techniques for hyperspectral imaging using latent diffusion models.

Other Interests

  • Sports: Cricket, Chess
  • Artists: Rahat Fateh Ali Khan, Avicii